MohammadReza Nikbakht; Mahmoud Ghorbani
Abstract
The occurrence of bankruptcy in the world's monetary systems is highly sensitive, as the systemic risk consequences associated with this phenomenon can have very devastating effects on the monetary and financial system of countries and lead to severe political and security crises. Valuable laws and regulations ...
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The occurrence of bankruptcy in the world's monetary systems is highly sensitive, as the systemic risk consequences associated with this phenomenon can have very devastating effects on the monetary and financial system of countries and lead to severe political and security crises. Valuable laws and regulations have been developed to assess the status and performance of the bank and to warn of the crisis leading to bankruptcy in the world. The situation of some countries, including Iran, is different economically and in other respects. In this study, through interviews with banking experts and thematic analysis, the researchers identified 17 indicators with a high degree of impact on bankruptcy, that five of them are specific to the current conditions of the Iran’s banks. these indicators could be usefully in every suitable ranking model. the proposed quantitative model could be used in case study researches for future research to know the important problems of high high risk banks.
Saied sehhat
Volume 11, Issue 43 , October 2014, , Pages 153-184
Abstract
Bankruptcy is a challenge that especially in this highly competitive era, many companies are faced with. Therefore the analysis and forecasting of bankruptcy are vital, especially for investors. Accordingly, the present study aims to introduce two techniques which are based on Data Envelopment Analysis ...
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Bankruptcy is a challenge that especially in this highly competitive era, many companies are faced with. Therefore the analysis and forecasting of bankruptcy are vital, especially for investors. Accordingly, the present study aims to introduce two techniques which are based on Data Envelopment Analysis (DEA) to analyze and predict bankruptcy of the food companies which are listed on Tehran Stock Exchange.
The study is descriptive- functional andassesses the models of bankruptcy analysis, and 58 Food Companies Listed on the stock exchange have been considered as statistical population.
The study results show that the DEA-Discriminant Analysis model was 92% accurate in predicting the bankrupt companies and 70% accurate in predicting the successful companies while the DEA-Additive model was 70% accurate in predicting the bankrupt companies and 90% accurate in predicting the successful companies, so in total the DEA-Discriminant Analysis model is more accurate than the DEA-Additive model, and it is preferred.
Ahmad Ahmadpoor; asoomeh hahsavari
Volume 11, Issue 41 , April 2014, , Pages 37-58
Abstract
This study investigates how management Authority of bankrupt firms performs in reporting future profitability and earnings quality effect in Tehran Stock Exchange during 1385-1390. Discretionary accrual is considered as measure of earnings management. Also in this study, it is investigated the effect ...
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This study investigates how management Authority of bankrupt firms performs in reporting future profitability and earnings quality effect in Tehran Stock Exchange during 1385-1390. Discretionary accrual is considered as measure of earnings management. Also in this study, it is investigated the effect of accounting-based earnings attributes on future profitability separately: accruals quality, earnings persistence, earnings predictability, and earnings smoothness. The results of estimating unbalanced panel data technique for 55 firms subjected to bankruptcy of Altman's model show that the Bankrupt companies tend to be opportunistic earnings management. We also find that earnings management performs better than earnings quality in predicting future profitability.
Shokrollah Khajavi; Fatemeh sadat Amiri
Volume 10, Issue 38 , July 2013, , Pages 69-90
Abstract
In company’s bankruptcy, stockholders, creditors and other stakeholders incurred lose and got affected. Thus, before any decisions, it is necessary to consider whether there is any signs of bankruptcy. In this research, after recognition of influencing variables on companies’ bankruptcy, ...
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In company’s bankruptcy, stockholders, creditors and other stakeholders incurred lose and got affected. Thus, before any decisions, it is necessary to consider whether there is any signs of bankruptcy. In this research, after recognition of influencing variables on companies’ bankruptcy, quantitative variables were extracted from bankrupt companies’ financial statements and a questionnaire was used to measure these quantitative variables importance level. Afterwards, we ranked recognized factors using TOPSIS_AHP technique. After recognition and ranking efficient variables in bankruptcy, it was revealed that the most important factor of bankruptcy is the lack of market understanding. The ratio of total debts to total assets and managers attitudes were recognized as other key factors in bankruptcy.
